pdgradient               package:lme4               R Documentation

_E_v_a_l_u_a_t_e_d _t_h_e _p_d_m_a_t_r_i_x _g_r_a_d_i_e_n_t

_D_e_s_c_r_i_p_t_i_o_n:

     This function is generic.  It returns the gradient of the positive
     definite matrix represented by `x' with respect to the parameters
     of `x'.

_U_s_a_g_e:

     pdgradient(x)

_A_r_g_u_m_e_n_t_s:

       x: An object of a suitable class, usually one of the classes
          that inherit from `pdMat'.

_V_a_l_u_e:

     A numeric array of dimension `c(dim(x), length(coef(x)))' that is
     the gradient of the `pdmatrix' represented by `x' with respect to
     the parameters of `x'.

_M_e_t_h_o_d_s:

     _x = _p_d_I_d_e_n_t gradient for the `pdIdent' class

     _x = _p_d_L_o_g_C_h_o_l gradient for the `pdLogChol' class

     _x = _p_d_M_a_t gradient for the `pdMat' class, implemented using
          `pdgradNumeric'

_A_u_t_h_o_r(_s):

     Douglas Bates bates@stat.wisc.edu and Saikat DebRoy
     saikat@stat.wisc.edu

_S_e_e _A_l_s_o:

     `pdgradNumeric'

_E_x_a_m_p_l_e_s:

